Skip to Main Content
Empirical Research in Software Engineering
book

Empirical Research in Software Engineering

by Ruchika Malhotra
March 2016
Intermediate to advanced content levelIntermediate to advanced
498 pages
18h 20m
English
Chapman and Hall/CRC
Content preview from Empirical Research in Software Engineering
310 Empirical Research in Software Engineering
Null hypothesis: There is no signicant difference between the performance of model
predicted using Bagging technique and the model predicted using LR technique.
Alternative hypothesis: There is a signicant difference between the performance
of model predicted using Bagging technique and the model predicted using LR
technique.
After applying paired t-test using the procedure given in Section 6.4.6.3, the t-statistic
is 3.087 (p-value = 0.037)and the test is signicant at 0.05signicance level. Hence, null
hypothesis is rejected and the alternative hypothesis is accepted. The example above dem-
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Case Study Research in Software Engineering: Guidelines and Examples

Case Study Research in Software Engineering: Guidelines and Examples

Per Runeson, Martin Höst, Austen Rainer, Björn Regnell
Evidence-Based Software Engineering and Systematic Reviews

Evidence-Based Software Engineering and Systematic Reviews

Barbara Ann Kitchenham, David Budgen, Pearl Brereton

Publisher Resources

ISBN: 9781498719735